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Bioterrorism

Latest AI and machine learning research in bioterrorism for healthcare professionals.

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Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

In this paper, we predict air pollutant concentration using a feedforward artificial neural network ...

Using machine learning to model dose-response relationships.

RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure a...

Estimation of design space for an extrusion-spheronization process using response surface methodology and artificial neural network modelling.

The application of the Quality by Design principles is one of the key issues of the recent pharmaceu...

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient...

A Knowledge-Based System for Display and Prediction of O-Glycosylation Network Behaviour in Response to Enzyme Knockouts.

O-linked glycosylation is an important post-translational modification of mucin-type protein, change...

Classifying Response Correctness across Different Task Sets: A Machine Learning Approach.

Erroneous behavior usually elicits a distinct pattern in neural waveforms. In particular, inspection...

Use of response surface method for maximizing the production of arginine deiminase by .

Statistically designed experiments were used to optimize the production of arginine deiminase (ADI) ...

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important rol...

Approach toward enhancement of halophilic protease production by sp. strain LBU50301 using statistical design response surface methodology.

A new potent halophilic protease producer, sp. strain LBU50301 was isolated from salt-fermented fis...

Structure-response relationship in electrospray ionization-mass spectrometry of sartans by artificial neural networks.

Quantitative structure-property relationship (QSPR) methods are based on the hypothesis that changes...

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.

This paper presents an empirical study of a formative neural network-based assessment approach by us...

Laccase Production and Differential Transcription of Laccase Genes in Cerrena sp. in Response to Metal Ions, Aromatic Compounds, and Nutrients.

Laccases can oxidize a wide range of aromatic compounds and are industrially valuable. Laccases ofte...

Optimization of Recombinant Expression of Synthetic Bacterial Phytase in Pichia pastoris Using Response Surface Methodology.

BACKGROUND: Escherichia coli phytase is an acidic histidine phytase with great specific activity. Pi...

Anti-IgG-anchored liquid crystal microdroplets for label free detection of IgG.

The orientational variation of 4-cyano-4'-pentyl biphenyl (5CB) molecules in LC microdroplets in res...

Optimization of Gentisides Extraction from Gentiana rigescens Franch. ex Hemsl. by Response Surface Methodology.

Gentisides are a class of chemical compounds which is considered as potential therapeutic substance ...

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